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Fuzzy-entropy threshold based on a complex wavelet denoising technique to diagnose Alzheimer disease
The presence of irregularities in electroencephalographic (EEG) signals entails complexities during the Alzheimer's disease (AD) diagnosis. In addition, the uncertainty presented on EEG raises major issues in the improvement of the classification rate. The multi-resolution analysis through an o...
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| Publicado no: | Healthc Technol Lett |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
The Institution of Engineering and Technology
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6371778/ https://ncbi.nlm.nih.gov/pubmed/30800318 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1049/htl.2016.0022 |
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